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author | J. Nathanael Philipp | 2021-02-02 12:19:36 +0100 |
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committer | J. Nathanael Philipp | 2021-02-02 12:19:36 +0100 |
commit | 1ec61a593ae25f645d09f6540ad9d21d55e61ba5 (patch) | |
tree | af8ad21eb65c9a27559cbbe4abcd8d7ae39caf77 | |
parent | b5952423dff67ba38f7388ae8bbf38930e622131 (diff) | |
download | aur-1ec61a593ae25f645d09f6540ad9d21d55e61ba5.tar.gz |
Update to 3.0.0.
-rw-r--r-- | .SRCINFO | 12 | ||||
-rw-r--r-- | PKGBUILD | 10 |
2 files changed, 11 insertions, 11 deletions
@@ -1,16 +1,16 @@ pkgbase = python-spacy-de_core_news_lg - pkgdesc = German multi-task CNN trained on the TIGER and WikiNER corpora. Assigns word vectors, POS tags, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl). - pkgver = 2.3.0 - pkgrel = 2 + pkgdesc = German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer. + pkgver = 3.0.0 + pkgrel = 1 url = https://spacy.io/models/de#de_core_news_lg arch = any license = MIT makedepends = python-setuptools depends = python-spacy - source = https://github.com/explosion/spacy-models/releases/download/de_core_news_lg-2.3.0/de_core_news_lg-2.3.0.tar.gz + source = https://github.com/explosion/spacy-models/releases/download/de_core_news_lg-3.0.0/de_core_news_lg-3.0.0.tar.gz source = https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE - sha256sums = cd3c565cfb6dd3df535b109077466685986059b18387259cc1fa7cf2db833d66 - sha256sums = 2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536 + sha256sums = 72e336a34c148ef3ef22cefa213894b3dfebca78ce9d64e0be42ec97f275fb68 + sha256sums = b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872 pkgname = python-spacy-de_core_news_lg @@ -1,9 +1,9 @@ # Maintainer: J. Nathanael Philipp (jnphilipp) <nathanael@philipp.land> pkgname=python-spacy-de_core_news_lg -pkgver=2.3.0 -pkgrel=2 -pkgdesc="German multi-task CNN trained on the TIGER and WikiNER corpora. Assigns word vectors, POS tags, dependency parses and named entities. Word vectors trained using FastText CBOW on Wikipedia and OSCAR (Common Crawl)." +pkgver=3.0.0 +pkgrel=1 +pkgdesc="German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer." url="https://spacy.io/models/de#de_core_news_lg" depends=('python-spacy') makedepends=('python-setuptools') @@ -11,8 +11,8 @@ license=('MIT') arch=(any) source=("https://github.com/explosion/spacy-models/releases/download/de_core_news_lg-${pkgver}/de_core_news_lg-${pkgver}.tar.gz" "https://raw.githubusercontent.com/explosion/spaCy/master/LICENSE") -sha256sums=("cd3c565cfb6dd3df535b109077466685986059b18387259cc1fa7cf2db833d66" - "2946c76df2417fe4e29c693e4d877f8516630740f0ede219edf1b0d06c61d536") +sha256sums=("72e336a34c148ef3ef22cefa213894b3dfebca78ce9d64e0be42ec97f275fb68" + "b90775797175e7aa165a5508c8132da463b8ae029b419f4fc52450276d9f2872") build() { cd de_core_news_lg-${pkgver} |